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This paper introduces an efficient approach towards blind deblurring of palm print images suffered from severe motion blur. First an improved Hough transform method is proposed to detect the blur angle and length of palm print image accurately. Analysis of blurred image is performed in Fourier domain which contains important information about the blur orientation of an image. After detecting the blur...
Digitization of document images using OCR based systems is adversely affected if the image of the document contains distortion (warping). Often, costly and precisely calibrated special hardware such as stereo cameras, laser scanners, etc. are used to infer the 3D model of the distorted image which is used to remove the distortion. Recent methods focus on creating a 3D shape model based on the 2D document...
Text line segmentation plays a vital role in the overall performance of a document recognition system. In the literature, similar segmentation works for offline handwritten Bangla documents are rarely found. On the other hand, certain peculiarities of handwritten Bangla script such as widespread occurrences of ascenders and descenders or some of its characters appearing only as an ascender or descender...
One of the important steps in image fusion is image registration. The process of determining the spatial transformation that maps the points in the target image to the points in the source image is known as image registration. Various image registration approaches can be classified as area, feature and transform domain based. Choice of approach depends on image contents and application. Area based...
This paper presents an effective single image spatially variant motion blur removal technique. Motion blur during the image capture occurs due to the relative motion between the capturing device and image being captured. This blur becomes spatially variant if it varies with position in an image. Removal of such space/shift variant blur from a single image is a challenging problem. To solve this problem,...
Image restoration of noisy motion blurred images is a challenging problem in image processing. The quality of restoration of such images depends on the perfect estimation of blur parameters. In this paper, an algorithm is proposed to estimate linear motion blur parameters such as blur length and motion direction under noisy conditions. In the proposed algorithm, pre-processing of the noisy image requires...
Table detection is of importance in the field of document images analysis and processing, especially table frame line detection. Although a great success has been achieved for high quality images during the past decade, table detection in low quality images still remains a challenge. To address this problem, we proposed a neoteric method to detect table frame line automatically in low quality document...
We propose a time variation channel estimation method for the Time Division Duplex-Long Term Evolution (TDD-LTE) uplink in the high speed train (HST) environment. In the transform domain, based on the estimated channel parameters of the two block pilots, the generalized complex exponential basis expansion model (GCE-BEM) is firstly employed to estimate the channel parameters of the data symbols between...
In this paper, we propose an efficient automatic contrast enhancement algorithm for low lighting video. The algorithm is based on a piecewise stretch on the brightness component extracted with Retinex theory in HSV space to improve the visuality of the image. By dividing the brightness component into dark and bright part, nonlinear transformations with different distribution assumption were performed...
Motion blur is a most common degradation present in the photograph captured from hand held camera. Minute visual details are lost and spreaded over pixels creating smearing impact in captured image due to motion blur. It's hazardous for machine vision application and should be corrected by any restoration methodology. As no information is available about kind of degradation and true image, restoration...
Velocity of micro vessels is an important indicator that reflects the microcirculatory state. Video images are analyzed quantitatively and semi-quantitatively using time-consuming and semi-automated techniques for blood flow measurement. Current technology is limited by poor image stability, low resolution and imaging artifacts. In light of these difficulties, many researchers have used spatiotemporal...
Mode space algorithm is capable of estimating the DOA for coherent sources provided that the receiving array is uniform circular array (UCA). In this paper, we propose an improved mode-MUSIC (IMODE-MUSIC) algorithm based on a hybrid array which is composed of a uniform circular array and a directional antenna located at the circular array center. By utilizing the mode space algorithm, the UCA is transformed...
Motion blur results when the scene is not static and image being recorded changes during the recording due to long exposure or motion. Because of motion blur projected image is smeared over the sensor according to the motion. Motion blur PSF is characterized by two parameters, namely blur direction and blur length. Faithful Restoration of the motion blurred image requires correct estimation of these...
As an approach to multiple sound sources localization, Time Difference Of Arrival (TDOA)-based methods have been widely explored. In the last decade, many algorithms have been studied for the estimation of the TDOA using the formulation of Blind Source Separation (BSS). In this paper, to estimate the TDOAs, we focus on the State Coherence Transform (SCT) that is resulted from BSS analysis. For multiple...
Spatially-varying signal content can be effectively modeled using amplitude modulation-frequency modulation (AM-FM) representations. The AM-FM representation allow us to extract instantaneous amplitude (IA) and instantaneous frequency (IF) components that can be used to measure non-stationary content in biomedical images and videos. This paper introduces a new method for estimating the IA and the...
Major aim of our study is to demonstrate that signal-adaptive approaches improve the nonlinear and time-variant analysis of heart rate variability (HRV) of children with temporal lobe epilepsy (TLE). Nonlinear HRV analyses are frequently applied in epileptic patients. As HRV is characterized by components with oscillatory properties frequency-selective methods are in the focus, whereby application...
In this paper, we propose an effective block compressed sensing algorithm using projected Land Weber based on bivariate shrinkage (BCS PL-BS) for natural images, and an improved noise variance estimation method is presented by using soft-thresholding bivariate shrinkage model for wavelet-based image denoising, which can more effectively remove noise and achieve better image reconstruction quality...
We compare the objective functions used by GR2T [1] and the L2E estimator [2] that have both been proposed for robust parameter estimation. We show their similarity when estimating location parameters. Of particular interest is their ability for dealing with the scale parameter that is often unknown and acts as a nuisance parameter. Both techniques are tested experimentally for regression (e.g. to...
In this paper, we propose a global image registration method using a sparse dictionary. For global image registration, template images are registered to a pregenerated image stored in a dictionary. Finding the closest image in the dictionary, we obtain a geometric transform between a template image and a reference image. To achieve robustly accurate registration, a large number of transformed images...
The aim of the present study was to measure bilateral asynchrony in patients suffering from Chronic Obstructive Pulmonary Disease (COPD) performing an incremental inspiratory load protocol. Bilateral asynchrony was estimated by the comparison of respiratory movements derived from diaphragm mechanomyographic (MMGdi) signals, acquired by means of capacitive accelerometers placed on left and right sides...
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